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A Low Memory Footprint Quantized Neural Network for Depth Completion of
  Very Sparse Time-of-Flight Depth Maps

A Low Memory Footprint Quantized Neural Network for Depth Completion of Very Sparse Time-of-Flight Depth Maps

25 May 2022
Xiao-Yan Jiang
V. Cambareri
Gianluca Agresti
C. Ugwu
Adriano Simonetto
Fabien Cardinaux
Pietro Zanuttigh
    3DV
    MQ
ArXivPDFHTML

Papers citing "A Low Memory Footprint Quantized Neural Network for Depth Completion of Very Sparse Time-of-Flight Depth Maps"

4 / 4 papers shown
Title
Sparsity Agnostic Depth Completion
Sparsity Agnostic Depth Completion
Andrea Conti
Matteo Poggi
S. Mattoccia
22
27
0
01 Dec 2022
PENet: Towards Precise and Efficient Image Guided Depth Completion
PENet: Towards Precise and Efficient Image Guided Depth Completion
Mu Hu
Shuling Wang
Bin Li
Shiyu Ning
Li Fan
Xiaojin Gong
MDE
102
273
0
01 Mar 2021
Incremental Network Quantization: Towards Lossless CNNs with
  Low-Precision Weights
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights
Aojun Zhou
Anbang Yao
Yiwen Guo
Lin Xu
Yurong Chen
MQ
331
1,049
0
10 Feb 2017
The Fast Bilateral Solver
The Fast Bilateral Solver
Jonathan T. Barron
Ben Poole
169
371
0
10 Nov 2015
1